The accelerated hub architecture is designed to enhance data processing and management by integrating various computing resources, such as GPUs and FPGAs, into a centralized hub. This architecture facilitates high-performance data analytics and machine learning tasks by providing a seamless interface for resource allocation and workload distribution. It typically employs a modular structure that allows for scalability and flexibility, enabling organizations to adapt to evolving computational demands. Additionally, it emphasizes low-latency communication between components to optimize performance and efficiency.
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